Severity cardiac analysis using the Higher-order spectra

作者：

Highlights：

• Cardiovascular diseases (CVD) or heart disorders are the leading cause of morbidity and mortality among men, women and people of most racial and ethnic groups in the world.

• The present work proposes a computer-aided technique based on PCG signals with the higher-order spectra analysis (HOS).

• .It is shown that the distinctive bispectral pattern of the different PCG signals presented in this study implies that each phonocardiogram could be distinguishable by applying the graphical bispectral analysis.

• The results suggest that the information obtained from the use of HOS technique to analyse PCG signals can improve the diagnosis of heart disorders and help clinicians differentiate patients according to the pathological severity of their heart state.

摘要

•Cardiovascular diseases (CVD) or heart disorders are the leading cause of morbidity and mortality among men, women and people of most racial and ethnic groups in the world.•The present work proposes a computer-aided technique based on PCG signals with the higher-order spectra analysis (HOS).•.It is shown that the distinctive bispectral pattern of the different PCG signals presented in this study implies that each phonocardiogram could be distinguishable by applying the graphical bispectral analysis.•The results suggest that the information obtained from the use of HOS technique to analyse PCG signals can improve the diagnosis of heart disorders and help clinicians differentiate patients according to the pathological severity of their heart state.

论文关键词：Phonocardiogram,Higher-order spectra,Energetic ratio,Bispectral analysis,Pathological severity

论文评审过程：Received 29 August 2020, Revised 25 March 2021, Accepted 17 May 2021, Available online 3 June 2021, Version of Record 3 June 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126389